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Google Gemma 7B 8 Bit Gptq by SotiriosKastanas

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  Arxiv:1910.09700   8-bit   Autotrain compatible   Endpoints compatible   Gemma   Gptq   Quantized   Region:us   Safetensors

Google Gemma 7B 8 Bit Gptq Benchmarks

LLME Score: 0.21088
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Google Gemma 7B 8 Bit Gptq Parameters and Internals

LLM NameGoogle Gemma 7B 8 Bit Gptq
Repository 🤗https://huggingface.co/SotiriosKastanas/google-gemma-7b-8-bit-gptq 
Model Size7b
Required VRAM9.5 GB
Updated2024-11-21
MaintainerSotiriosKastanas
Model Typegemma
Model Files  9.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16
Google Gemma 7B 8 Bit Gptq (SotiriosKastanas/google-gemma-7b-8-bit-gptq)

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Note: green Score (e.g. "73.2") means that the model is better than SotiriosKastanas/google-gemma-7b-8-bit-gptq.

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Release v20241110
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